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GreaterHeight Technologies LLC ~ GreaterHeight Academy
  • All Courses
    • BI and Visualization
      • Mastering Data and Business Analytics
        • Basic Excel for Data Analysis
        • Intermediate and Advanced Excel for Data Analysis
        • Excel for Business Analysis & Analyst
        • PivotTable, PowerPivot, PowerQuery & DAX for Data Analysi
        • Data Analytics and Visualization with Tableau
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      • Complete Microsoft Excel Master Program
        • Basic Excel for Data Analysis
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        • Intermediate and Advanced Excel for Data Analysis
        • PivotTable PowerPivot, PowerQuery & DAX for Data Analysis
        • Excel for Data Analysis and Visualization
        • Excel for Business Analysis & Analyst
      • Data Analytics With SQL Master Program
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Data Analytics & Visualization With SQL


SQL skills are highly sought after in web development, programming, data analysis and reporting environments. Learn how to write SQL (Structured Query Language) using Microsoft's SQL Server Management Studio from scratch.


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Data Analytics and Visualization With SQL


Who this course is for:

  • Aspiring Data Analysts or Business Intelligence Analysts looking to break into these fields by learning SQL.
  • Data Scientists trying to improve their data cleaning and transformation skills by learning SQL.
  • Non-technical business professionals such as business analysts and project managers trying to gain a better understanding of the technical domains they interact with.


What you will Learn:

  • Use SQL to apply complex criteria and transformations to database data.
  • Master SQL functions for sophisticated data manipulation.
  • Leverage an understanding of relational database design to link together data stored across multiple tables.
  • Use aggregate queries to produce summarized views and analysis.
  • Be comfortable putting SQL and SQL Server on your resume.
  • Gain experience with the kind of SQL coding problems you are likely to encounter in an interview.

Course Benefits & Key Features

Data Analysis and Visualization with SQL’s benefits and key features.
Modules

30+ Modules.

Lessons

80+ Lessons

Practical

40+ Hands-On Labs

Life Projects

5+ Projects

Resume

CV Preparations

Job

Jobs Reference

Recording

Session Recording

Interviews

Mock Interviews

Support

On Job Supports

Membership

Membership Access

Networks

Networking

Certification

Certificate of Completion


INSTRUCTOR-LED LIVE ONLINE CLASSES

Our learn-by-building-project method enables you to build

practical or coding experience that sticks. 95% of our                        

learners say they have confidence and remember more               

when they learn by building real world projects which is                

required to work in your real life.


  • Get step-by-step guidance to practice your skills without getting stuck
  • Validate your technical problem-solving skills in a real environment
  • Troubleshoot complex scenarios to practice what you learned
  • Develop production experience that translates into real-world
.

Why Data Analytics and Visualization With SQL?

Learn In-demand Skills

Those with careers in data analysis learn relevant in-demand skills that span industries and add value to every digital-enabled organization.


Earn a Higher Salary

Experienced data analysts can earn up to $112,000 per year and transition into higher-paying jobs as Senior Data Analysts, Data Scientists, or Analytics Managers.

Positive Job Outlook

The data analytics market is predicted to hit $132.90 Billion USD by 2026. COVID-19 pandemic accelerated the adoption of data analytics solutions and services.

Shape the Future

Data analysts transform organizations by capitalizing on data to improve their business decisions and solve critical real-world problems.

Become a Leader

Being a central part of an organization’s decision-making processes, analytics experts often pick up strong leadership skills as well.

Data Analysis are Constantly Evolving

Data analysis moves quickly, and data analysts are constantly learning and advancing in their careers.




GreaterHeight Certificates holders are prepared to work at companies like these.

Some Alumni Testimonies

Investing in the course "Become a Data Analyst" with GreaterHeight Academy is great value for the money and I highly recommend. The trainer is very knowledgeable, very engaging, provided us with quality training sessions on all courses and was easily acessible for queries. We also had access to the course materials and also the timely availability of the recorded videos made it easy and aided the learning process..

QUEEN OBIWULU

Team Lead, Customer Success

The training was fantastic, the instructor is an awesome lecturer, relentless and not tired in his delivery. He obviously enjoys teaching, it comes natural to him. We got more than we expected. He extended my knowledge of Excel beyond what I knew, and the courses were brilliantly delivered. They reach out, follow up, ask questions, and in fact the support has been great. They are highly recommended and I would definitely subscribe to other training programs from them.

BISOLA OGUNRO

Fraud Analytics Risk Oversight Manager

It's one thing to look for just a Data Analysis training, and it's another to get the knowledge transferred through certified professional trainers. No matter your initial level of proficiency in any of the Data Analysis tools, GreaterHeight Academy would meet you there and take you up to a highly proficienct and confident level in a short time at a reasonable pace. I learnt a lot of Data Analysis tools and skills at GreaterHeight from patient and resourceful teachers.

TUNDE MEREDITH

Operation Director - Abbfem Technology

The Data Analysis training program was one of the best I have attended. The way GreaterHeight took off with Excel and concluded the four courses with Excel was a mind blowing - it was WOW!! I concluded that I'm on the right path with the right mentor to take me from a novice to professional. GreaterHeight is the best as far as impacting Data Analysis knowledge is concern. I would shout it at the rooftop to recommend GreaterHeight to any trainee that really wants to learn.

JOHN OSI PETER

Greaterheight

I wanted to take a moment to express my deepest gratitude for the opportunity to study data analytics at GreaterHeight Academy. I am truly impressed by the level of dedication and support that the sponsor and CEO have put into this program. GreaterHeight Academy is without a doubt the best tech institution out there, providing top-notch education and resources for its students. One of the advantages of studying at GreaterHeight Academy is the access to the best tools and technologies in the field. 

AYODELE PAYNE

Sales/Data Analyst

It is an unforgettable experience that will surely stand the test of time learning to become a Data Analyst with GreaterHeights Academy. The Lecture delivery was so impactful and the Trainer is vast and well knowledgeable in using the applicable tools for the Sessions. Always ready to go extra mile with you. The supports you get during and after the lectures are top notch with materials and resources available to build your confidence on and off the job.

ADEBAYO OLADEJO

Customer Service Advisor (Special Operations)

Data Analytics and Visualization With SQL Course


In just two hours, you'll get to know the theory and the practice through bite-sized videos and interactive exercises where you can put your new-found skills to the test.

SQL is an essential language for building and maintaining relational databases, which opens the door to a range of careers in the data industry and beyond. You’ll start this course by covering data organization, tables, and best practices for database construction.

The second half of this course looks at creating SQL queries for selecting data that you need from your database. You’ll have the chance to practice your querying skills before moving on to customizing and saving your results.

PostgreSQL and SQL Server are two of the most popular SQL flavors. You’ll finish off this course by looking at the differences, benefits, and applications of each. By the end of the course, you’ll have some hands-on experience in learning SQL and the grounding to start applying it to projects or continue your learning in a more specialized direction.

WEEK 24-27 | 24 Modules | 15+ Hours | 10 Skills

Course Modules 


  1. Course Introduction
  2. Demo SQL Lab Walk - Through

  1. Introduction to Databases
  2. Introduction to Database Management System
  3. DBMS vs RDBMS
  4. Introduction to SQL
  5. Tables in SQL
  6. Relationships in SQL
  7. Views in SQL
  8. Table vs Views
  9. Quick Recap

  1. Introduction
  2. Entity Relationship Model
  3. Recap

  1. Introduction
  2. Downloading SQL Express Edition
  3. Installing SQL Express Edition
  4. Configuring SQL Express Edition and Workbench
  5. Connecting to SQL Server
  6. Demo Downloading Sample SQL Database in SQL Workbench
  7. Recap

  1. Introduction
  2. Database Manipulation in SQL
  3. Transactions and ACID Properties in SQL
  4. SQL Storage Engines
  5. Creating and Managing Tables in SQL
  6. Creating and Managing Tables in SQL CREATE, DESCRIBE, and SHOW Table
  7. Creating and Managing Tables in SQL ALTER, TRUNCATE, and DROP Tables
  8. Inserting and Querying Data in Tables
  9. Filtering Data From Tables in SQL
  10. Filtering Data From Tables in SQL WHERE and DISTINCT Clauses
  11. Filtering Data From Tables in SQL AND and OR Operators
  12. Filtering Data From Tables in SQL IN and NOT IN Operators
  13. Filtering Data From Tables in SQL BETWEEN and LIKE Operators
  14. Filtering Data From Tables in SQL LIMIT, IS NULL, and IS NOT NULL Operators
  15. Sorting Table Data
  16. Comments in SQL
  17. Recap

  1. String Data types - Char, Varchar, Binary, Text, nvarchar, nchar, image, etc.
  2. Numeric Data Types - bit, tinyint, SmallInt, Int, Integer, BigInt, decimal, numeric, float, real, etc.
  3. Date & Time - Date, DateTime, Year,

  1. CREATE
  2. DROP
  3. ALTER
  4. TRUNCATE
  5. COMMENT
  6. RENAME

  1. SELECT
  2. WHERE

  1. INSERT
  2. UPDATE
  3. DELETE
  4. Lock

  1. +, -, *, /, %

  1. Equal to (=)
  2. Greater than (>)
  3. Less than (<)
  4. Greater than equal to (>=)
  5. Less than equal to (<=)
  6. Not equal to (<>)

  1. AND
  2. OR
  3. NOT

  1. LIKE Operator
  2. IN Operator
  3. NOT Operator
  4. NOT EQUAL Operator
  5. IS NULL Operator
  6. UNION Operator
  7. UNION ALL Operator
  8. | Except Clause
  9. Between
  10. ALL and ANY
  11. INTERSECT Clause
  12. EXISTS

  1. NOT NULL Constraints
  2. UNIQUE Constraints
  3. Primary Key Constraints
  4. Foreign Key Constraints
  5. Composite Key
  6. Unique Constraints
  7. Alternate Key
  8. CHECK Constraints
  9. DEFAULT Constraints

  1. Introduction
  2. Understanding SQL Functions
  3. Aggregate Functions
  4. Scalar Functions
  5. String Functions
  6. Numeric Functions
  7. Date and Time Functions
  8. Handling Duplicate Records
  9. Miscellaneous Functions
  10. General Functions
  11. Recap
  12. Patient Diagnosis Report

  1. LEN()
  2. CONCAT()
  3. FORMAT()
  4. INSERT()
  5. LEFT() & RIGHT()
  6. LENGTH()
  7. LOWER()
  8. LTRIM(), RTRIM(), & TRIM()
  9. MID()
  10. SUBSTR()

  1. DATE - format YYYY-MM-DD
  2. DATETIME - format: YYYY-MM-DD HH:MI: SS
  3. TIMESTAMP - format: YYYY-MM-DD HH:MI: SS
  4. YEAR - format YYYY or YY

  1. The WHERE Clause
  2. Other Operators

  1. The SQL ORDER BY
  2. ORDER BY - ascending
  3. ORDER BY - descending

  1. SUM
  2. COUNT
  3. AVG
  4. MIN
  5. MAX
  6. Num

  1. Why you should to backup your data?
  2. Simple BACKUP and RESTORE
  3. BACKUP and RESTORE LOGS
  4. Differential BACKUP and RESTORE
  5. BACKUP WITH INIT
  6. BACKUP WITH COPY ONLY
  7. RESTORE moving the directory files

  1. Introduction
  2. Introduction to Alias
  3. Introduction to JOINS
  4. Right Cross and Self Join
  5. Operators in SQL
  6. Operators in SQL Updated
  7. Intersect and Emulation
  8. Minus and Emulation
  9. Subquery in SQL
  10. Subqueries with Statements and Operators
  11. Subqueries with Commands
  12. Derived Tables in SQL
  13. EXISTS Operator
  14. NOT EXISTS Operator
  15. EXISTS vs IN Operators
  16. Employee Data Analysis
  17. Recap

  1. Introduction to Window Function
  2. Window Function Syntax
  3. Aggregate Window Functions
  4. Ranking Window Functions
  5. Miscellaneous Window Functions
  6. Miscellaneous Window Functions FIRST VALUE NTH VALUE and NTILE
  7. Miscellaneous Window Functions CUME DIST LEAD LAG and LAST VALUE
  8. Recap
  9. Spotlight

  1. EXPORT - Open the Object Explorer, Right-click on the Database that you want to export and click the “task” option and select “Export Data-Tier Application”.
  2. EXPORT - Click Next and by browsing, select the destination folder in which you have to save the database file. The filename should be as same as the database name ( here “college” ) and click “Next ” and “Finish”. You will get a dialogue box showing the result of exporting.
  3. IMPORT - Right Click on the Database folder and select “Import Data-Tier Application” and click “Next.
  4. IMPORT - Select the file which you have exported and change the name of the database
  5. etc

DATA ANALYTICS WITH SQL COST


United States

$349.99

United Kingdom

£299.99

Register for this course


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Career and Certifications


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FAQs

Data Analytics With SQL

  • Learn how to write SQL (Structured Query Language) from scratch with SQL training course. This course will easily step you through writing SQL using Microsoft's SQL Server Management Studio. SQL allows you to retrieve, sort, filter, group, aggregate and calculate data stored in a SQL Server database. This course is designed for people wanting to learn how to interrogate data from a relational database, how to manipulate this data (Insert, update, and delete records).
  • Although we use SQL Server to interrogate data throughout this course, SQL is a common language easily adapted to other RDBMS (relational database management systems) such as MySQL, IBM DB2, PostgreSQL, Oracle, Ingres, Sybase and Microsoft Access.

After completing this course, you will be able to:

  • Define RDBMS and three normalization forms
  • Using DDL Statements to Create and Manage Tables
  • Manipulating Data Using DML
  • Retrieving Data Using the SQL Select Statement
  • Restricting and Sorting Data
  • Displaying Data from Multiple Tables
  • Using the built-in functions.
  • Using SQL statements to prepare and analyze dataset.

  • Nowadays, information is gathered from a variety of root, and the information is of great value to organizations. However, with an increasing amount of data comes the need for a database that can entrepot information for retrieval and analysis by the trained specialist. Thus, proper data analysis is in high demand in our digital world.
  • A relational database, which logically group information into chunks, are basically used to store and organize large amounts of data. Of course, if you’re looking to retrieve any kind of information from a database, you need to speak its oral communication! The most widely used speech communication for interacting with the database is SQL (Structured Query Language), the amber standard of relational databases.
  • SQL queries, which are essentially requests or instructions that you send to a database, allow you to retrieve information and update, insert, or delete data. SQL is mainly associated with the IT sector and is an everyday instrument for database administrators. Developers use SQL to write an application that requires database connector, and systems architects use it to design database models. All of this mean value that encyclopedism SQL is a great choice for anyone who would like to pursue a career in IT.

The Business Intelligence market is growing significantly across the world and such strong growth pattern followed by market demand is a great opportunity for the following IT Professionals.

  • Business Analysts
  • Data Analysts
  • Project Managers
  • Data Scientists
  • Statisticians and Analysts
  • Business Intelligence Managers

  • SQL Certification Training Cost in USA, UK and NIGERIA is £300.

  • All online training classes are recorded. You will get the recorded sessions so that you can watch the online classes when you want. Also, you can join other class to do your missing classes.

  • GreaterHeight is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry ready.
  • You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

  • There are no pre-requisites for this course, however, some fundamentals knowledge about DBMS will be beneficial.

All our mentors are highly qualified and experience professionals. All have at least 18-25 yrs. of development experience in various technologies and are trained by GreaterHeight Academy to deliver interactive training to the participants.

  • Yes, we do. As the technology upgrades, we do update our content and provide your training on latest version of that technology.

Exam Pattern for Tableau Desktop Certified Associate Exam

  • Time Limit: 2 hours; please plan for extra time for online exam setup.
  • Question Format: Multiple choice, true/false, multiple responses, hands-on
  • Number of Questions: 36
  • Scoring: Automatically scored; point value varies per question type with hands-on worth more
  • Passing score: 75%
  • Language(s) Offered: English, Simplified Chinese, Japanese, German, Brazilian Portuguese, French, International Spanish.
  • Delivery Platform: Windows Virtual Machine containing Tableau Desktop Source: 
  • https://www.tableau.com/learn/certification/desktop-certified-associate

  • Yes, we would be providing you with the certificate of completion of the program once you have successfully submitted all the assessment and it has been verified by our subject matter experts.

  • Yes, we do. We will discuss all possible technical interview questions and answers during the training program so that you can prepare yourself for interview.

  • No. Any abuse of copyright is taken seriously. Thanks for your understanding on this one.

  • Yes. But you can also raise a ticket with the dedicated support team at any time. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, our support is provided for a period of Twelve Weeks from the start date of your course.

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